Tourism and Hospitality Prospects ›› 2019, Vol. 3 ›› Issue (2): 40-53.DOI: 10.12054/lydk.bisu.96
• Research Paper • Previous Articles Next Articles
Yelin FANG1, Fang WANG2
Received:
2018-05-21
Revised:
2018-11-10
Online:
2019-04-30
Published:
2019-03-12
作者简介:
方叶林(1986— ),男,安徽巢湖人,博士,安徽大学商学院副教授,硕士生导师,研究方向:旅游地理与区域经济。E-mail:fangyelin2006@126.com。王 芳(1989— ),女,江苏高邮人,硕士,安徽财贸职业学院助教,研究方向:酒店与服务业管理。
基金资助:
CLC Number:
Yelin FANG, Fang WANG. The Measurement and Optimization of Provincial Tourism Efficiency Considering Environment Variables in Mainland China:From the Perspective of Regional Economy and Traffic Location[J]. Tourism and Hospitality Prospects, 2019, 3(2): 40-53.
方叶林, 王芳. 考虑环境变量的我国大陆省域旅游业效率测度及优化——基于区域经济与交通区位视角[J]. 旅游导刊, 2019, 3(2): 40-53.
省(市区) | 综合效率 | 纯技术效率 | 规模效率 | 省(市区) | 综合效率 | 纯技术效率 | 规模效率 |
---|---|---|---|---|---|---|---|
北京 | 1.000 | 1.000 | 1.000 | 广西 | 0.497 | 0.525 | 0.947 |
天津 | 0.443 | 0.452 | 0.981 | 海南 | 0.345 | 0.408 | 0.846 |
河北 | 0.362 | 0.363 | 0.996 | 重庆 | 0.552 | 0.618 | 0.893 |
山西 | 0.694 | 0.695 | 0.999 | 四川 | 1.000 | 1.000 | 1.000 |
内蒙古 | 0.566 | 0.643 | 0.881 | 贵州 | 0.429 | 0.504 | 0.851 |
辽宁 | 0.429 | 0.474 | 0.906 | 云南 | 0.412 | 0.413 | 0.997 |
吉林 | 0.544 | 0.598 | 0.910 | 西藏 | 0.299 | 0.751 | 0.398 |
黑龙江 | 0.367 | 0.472 | 0.777 | 陕西 | 0.488 | 0.517 | 0.944 |
上海 | 0.668 | 0.897 | 0.745 | 甘肃 | 0.226 | 0.457 | 0.496 |
江苏 | 1.000 | 1.000 | 1.000 | 青海 | 0.158 | 0.712 | 0.222 |
浙江 | 0.620 | 0.837 | 0.741 | 宁夏 | 0.119 | 0.798 | 0.149 |
安徽 | 0.577 | 0.607 | 0.950 | 新疆 | 0.226 | 0.366 | 0.616 |
福建 | 0.459 | 0.459 | 0.999 | 均值 | 0.518 | 0.640 | 0.820 |
江西 | 0.697 | 0.698 | 0.998 | 最大值 | 1.000 | 1.000 | 1.000 |
山东 | 0.433 | 0.563 | 0.769 | 最小值 | 0.119 | 0.363 | 0.149 |
河南 | 0.898 | 1.000 | 0.898 | 东部地区 | 0.570 | 0.665 | 0.876 |
湖北 | 0.443 | 0.459 | 0.966 | 中部地区 | 0.589 | 0.635 | 0.926 |
湖南 | 0.518 | 0.543 | 0.954 | 西部地区 | 0.391 | 0.614 | 0.657 |
广东 | 0.578 | 1.000 | 0.578 |
Tab.1 The calculation results of efficiency in the first stage
省(市区) | 综合效率 | 纯技术效率 | 规模效率 | 省(市区) | 综合效率 | 纯技术效率 | 规模效率 |
---|---|---|---|---|---|---|---|
北京 | 1.000 | 1.000 | 1.000 | 广西 | 0.497 | 0.525 | 0.947 |
天津 | 0.443 | 0.452 | 0.981 | 海南 | 0.345 | 0.408 | 0.846 |
河北 | 0.362 | 0.363 | 0.996 | 重庆 | 0.552 | 0.618 | 0.893 |
山西 | 0.694 | 0.695 | 0.999 | 四川 | 1.000 | 1.000 | 1.000 |
内蒙古 | 0.566 | 0.643 | 0.881 | 贵州 | 0.429 | 0.504 | 0.851 |
辽宁 | 0.429 | 0.474 | 0.906 | 云南 | 0.412 | 0.413 | 0.997 |
吉林 | 0.544 | 0.598 | 0.910 | 西藏 | 0.299 | 0.751 | 0.398 |
黑龙江 | 0.367 | 0.472 | 0.777 | 陕西 | 0.488 | 0.517 | 0.944 |
上海 | 0.668 | 0.897 | 0.745 | 甘肃 | 0.226 | 0.457 | 0.496 |
江苏 | 1.000 | 1.000 | 1.000 | 青海 | 0.158 | 0.712 | 0.222 |
浙江 | 0.620 | 0.837 | 0.741 | 宁夏 | 0.119 | 0.798 | 0.149 |
安徽 | 0.577 | 0.607 | 0.950 | 新疆 | 0.226 | 0.366 | 0.616 |
福建 | 0.459 | 0.459 | 0.999 | 均值 | 0.518 | 0.640 | 0.820 |
江西 | 0.697 | 0.698 | 0.998 | 最大值 | 1.000 | 1.000 | 1.000 |
山东 | 0.433 | 0.563 | 0.769 | 最小值 | 0.119 | 0.363 | 0.149 |
河南 | 0.898 | 1.000 | 0.898 | 东部地区 | 0.570 | 0.665 | 0.876 |
湖北 | 0.443 | 0.459 | 0.966 | 中部地区 | 0.589 | 0.635 | 0.926 |
湖南 | 0.518 | 0.543 | 0.954 | 西部地区 | 0.391 | 0.614 | 0.657 |
广东 | 0.578 | 1.000 | 0.578 |
变量 | 从业人数松弛变量 | 旅行社个数松弛变量 | ||
---|---|---|---|---|
系数 | T值 | 系数 | T值 | |
常数项 | —21 570.453*** | —21 570.453 | —129.677*** | —7.102 |
环境1 | 0.401*** | 85.102 | —0.003*** | 6.985 |
环境2 | 0.040*** | 10.036 | —0.001*** | 7.022 |
δ2 | 3.143E+09*** | 3.143E+09 | 93 346.974*** | 93 230.447 |
γ | 1.000E+00*** | 4.585E+06 | 1.000E+00*** | 6.526E+06 |
变量 | 星级酒店个数松弛变量 | 固定资产松弛变量 | ||
系数 | T值 | 系数 | T值 | |
常数项 | —50.184*** | —10.203 | —1.136E+06*** | —1.136E+06 |
环境1 | —0.001*** | 52.192 | 39.361*** | 5.571 |
环境2 | —0.001*** | 3.054 | 0.419*** | 6.210 |
δ2 | 31 169.381*** | 31 170.218 | 9.740E+11*** | 9.740E+11 |
γ | 1.000E+00*** | 5.471E+05 | 0.783*** | 7.098 |
Tab.2 The parameters estimation results of SFA in the second stage
变量 | 从业人数松弛变量 | 旅行社个数松弛变量 | ||
---|---|---|---|---|
系数 | T值 | 系数 | T值 | |
常数项 | —21 570.453*** | —21 570.453 | —129.677*** | —7.102 |
环境1 | 0.401*** | 85.102 | —0.003*** | 6.985 |
环境2 | 0.040*** | 10.036 | —0.001*** | 7.022 |
δ2 | 3.143E+09*** | 3.143E+09 | 93 346.974*** | 93 230.447 |
γ | 1.000E+00*** | 4.585E+06 | 1.000E+00*** | 6.526E+06 |
变量 | 星级酒店个数松弛变量 | 固定资产松弛变量 | ||
系数 | T值 | 系数 | T值 | |
常数项 | —50.184*** | —10.203 | —1.136E+06*** | —1.136E+06 |
环境1 | —0.001*** | 52.192 | 39.361*** | 5.571 |
环境2 | —0.001*** | 3.054 | 0.419*** | 6.210 |
δ2 | 31 169.381*** | 31 170.218 | 9.740E+11*** | 9.740E+11 |
γ | 1.000E+00*** | 5.471E+05 | 0.783*** | 7.098 |
省(市区) | 综合效率 | 纯技术效率 | 规模效率 | 省(市区) | 综合效率 | 纯技术效率 | 规模效率 |
---|---|---|---|---|---|---|---|
北京 | 1.000 | 1.000 | 1.000 | 广西 | 0.452 | 0.589 | 0.768 |
天津 | 0.392 | 0.544 | 0.721 | 海南 | 0.153 | 0.682 | 0.225 |
河北 | 0.431 | 0.561 | 0.769 | 重庆 | 0.498 | 0.676 | 0.737 |
山西 | 0.530 | 0.625 | 0.848 | 四川 | 1.000 | 1.000 | 1.000 |
内蒙古 | 0.491 | 0.744 | 0.660 | 贵州 | 0.435 | 0.507 | 0.858 |
辽宁 | 0.605 | 0.683 | 0.886 | 云南 | 0.455 | 0.531 | 0.856 |
吉林 | 0.452 | 0.673 | 0.672 | 西藏 | 0.058 | 0.501 | 0.116 |
黑龙江 | 0.269 | 0.642 | 0.419 | 陕西 | 0.448 | 0.605 | 0.740 |
上海 | 0.540 | 0.910 | 0.411 | 甘肃 | 0.184 | 0.677 | 0.272 |
江苏 | 0.800 | 1.000 | 0.739 | 青海 | 0.047 | 0.485 | 0.096 |
浙江 | 0.763 | 0.783 | 0.974 | 宁夏 | 0.046 | 0.644 | 0.072 |
安徽 | 0.585 | 0.647 | 0.904 | 新疆 | 0.200 | 0.666 | 0.301 |
福建 | 0.549 | 0.641 | 0.857 | 均值 | 0.489 | 0.697 | 0.674 |
江西 | 0.557 | 0.627 | 0.888 | 最大值 | 1.000 | 1.000 | 1.000 |
山东 | 0.759 | 0.814 | 0.933 | 最小值 | 0.046 | 0.485 | 0.072 |
河南 | 0.780 | 0.841 | 0.928 | 东部地区 | 0.569 | 0.767 | 0.741 |
湖北 | 0.547 | 0.655 | 0.835 | 中部地区 | 0.526 | 0.679 | 0.773 |
湖南 | 0.525 | 0.654 | 0.803 | 西部地区 | 0.337 | 0.629 | 0.505 |
广东 | 0.609 | 1.000 | 0.609 |
Tab.3 The calculation results of efficiency in the third stage
省(市区) | 综合效率 | 纯技术效率 | 规模效率 | 省(市区) | 综合效率 | 纯技术效率 | 规模效率 |
---|---|---|---|---|---|---|---|
北京 | 1.000 | 1.000 | 1.000 | 广西 | 0.452 | 0.589 | 0.768 |
天津 | 0.392 | 0.544 | 0.721 | 海南 | 0.153 | 0.682 | 0.225 |
河北 | 0.431 | 0.561 | 0.769 | 重庆 | 0.498 | 0.676 | 0.737 |
山西 | 0.530 | 0.625 | 0.848 | 四川 | 1.000 | 1.000 | 1.000 |
内蒙古 | 0.491 | 0.744 | 0.660 | 贵州 | 0.435 | 0.507 | 0.858 |
辽宁 | 0.605 | 0.683 | 0.886 | 云南 | 0.455 | 0.531 | 0.856 |
吉林 | 0.452 | 0.673 | 0.672 | 西藏 | 0.058 | 0.501 | 0.116 |
黑龙江 | 0.269 | 0.642 | 0.419 | 陕西 | 0.448 | 0.605 | 0.740 |
上海 | 0.540 | 0.910 | 0.411 | 甘肃 | 0.184 | 0.677 | 0.272 |
江苏 | 0.800 | 1.000 | 0.739 | 青海 | 0.047 | 0.485 | 0.096 |
浙江 | 0.763 | 0.783 | 0.974 | 宁夏 | 0.046 | 0.644 | 0.072 |
安徽 | 0.585 | 0.647 | 0.904 | 新疆 | 0.200 | 0.666 | 0.301 |
福建 | 0.549 | 0.641 | 0.857 | 均值 | 0.489 | 0.697 | 0.674 |
江西 | 0.557 | 0.627 | 0.888 | 最大值 | 1.000 | 1.000 | 1.000 |
山东 | 0.759 | 0.814 | 0.933 | 最小值 | 0.046 | 0.485 | 0.072 |
河南 | 0.780 | 0.841 | 0.928 | 东部地区 | 0.569 | 0.767 | 0.741 |
湖北 | 0.547 | 0.655 | 0.835 | 中部地区 | 0.526 | 0.679 | 0.773 |
湖南 | 0.525 | 0.654 | 0.803 | 西部地区 | 0.337 | 0.629 | 0.505 |
广东 | 0.609 | 1.000 | 0.609 |
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